Handwritten tifinagh character recognition using simple geometric shapes and graphs

Youssef Ouadid (Sultan Moulay Slimane University)
Abderrahmane Elbalaoui (Sultan Moulay Slimane University)
Mehdi Boutaounte (Sultan Moulay Slimane University)
Mohamed Fakir (Sultan Moulay Slimane University)
Brahim Minaoui (Sultan Moulay Slimane University)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 13, No 2: February 2019

In this paper, a graph based handwritten Tifinagh character recognition system is presented. In preprocessing Zhang Suen algorithm is enhanced. In features extraction, a novel key point extraction algorithm is presented. Images are then represented by adjacency matrices defining graphs where nodes represent feature points extracted by a novel algorithm. These graphs are classified using a graph matching method. Experimental results are obtained using two databases to test the effectiveness. The system shows good results in terms of recognition rate.